Name
Neuro-2a cell
Namespace Keyword
CellLine
Namespace
Experimental Factor Ontology (EFO)
Namespace Version
20170511
Namespace URL
https://arty.scai.fraunhofer.de/artifactory/bel/annotation/cell-line/cell-line-20170511.belanno

Sample Annotated Edges 3

composite(a(CHEBI:choline), p(HGNC:CHRNA7)) increases a(CHEBI:"calcium(2+)") View Subject | View Object

In N2a cells α7345–348A nAChR expression fostered a weak calcium response to (10 mM) choline, whereas expression of α7 nAChRs correlated with noticeable choline-induced calcium transient. Imaging studies in N2a cells expressing α7345–348A nAChRs indicate a significantly lowered calcium signal peak to choline (333.4% ΔF/Fθ ± 35.7%) when compared with N2a cells that express the α7nAChR (peak: 581% ΔF/Fθ ± 122.7%; p = 0.04) (Fig. 4, D and E). PubMed:26088141

composite(a(CHEBI:choline), p(HGNC:CHRNA7, var("p.345A"), var("p.346A"), var("p.347A"), var("p.348A"))) decreases a(CHEBI:"calcium(2+)") View Subject | View Object

In N2a cells α7345–348A nAChR expression fostered a weak calcium response to (10 mM) choline, whereas expression of α7 nAChRs correlated with noticeable choline-induced calcium transient. Imaging studies in N2a cells expressing α7345–348A nAChRs indicate a significantly lowered calcium signal peak to choline (333.4% ΔF/Fθ ± 35.7%) when compared with N2a cells that express the α7nAChR (peak: 581% ΔF/Fθ ± 122.7%; p = 0.04) (Fig. 4, D and E). PubMed:26088141

g(HGNC:CHRNA7, var("p.345A"), var("p.346A"), var("p.347A"), var("p.348A")) causesNoChange p(HGNC:CHRNA7, var("p.345A"), var("p.346A"), var("p.347A"), var("p.348A")) View Subject | View Object

Studies in N2a cells indicate that transfection with α7345–348A yields a similar α7 nAChR expression as the wild-type (α7) and supports the finding that mutation at the GPBC does not impact the synthesis of the nAChR in cells. PubMed:26088141

About

BEL Commons is developed and maintained in an academic capacity by Charles Tapley Hoyt and Daniel Domingo-Fernández at the Fraunhofer SCAI Department of Bioinformatics with support from the IMI project, AETIONOMY. It is built on top of PyBEL, an open source project. Please feel free to contact us here to give us feedback or report any issues. Also, see our Publishing Notes and Data Protection information.

If you find BEL Commons useful in your work, please consider citing: Hoyt, C. T., Domingo-Fernández, D., & Hofmann-Apitius, M. (2018). BEL Commons: an environment for exploration and analysis of networks encoded in Biological Expression Language. Database, 2018(3), 1–11.